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Generating 3D Adversarial Point Clouds
A Closer Look at Local Aggregation Operators in Point Cloud Analysis(ECCV 2020)
A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)
[ECCV 2022] Official pytorch implementation of the paper, "PointMixer: MLP-Mixer for Point Cloud Understanding"
Grid-GCN for Fast and Scalable Point Cloud Learning
This is the official pytorch implementation for paper: IF-Defense: 3D Adversarial Point Cloud Defense via Implicit Function based Restoration
N -gram based malicious code detection tool
Repo for "Benchmarking Robustness of 3D Point Cloud Recognition against Common Corruptions" https://arxiv.org/abs/2201.12296
Pytorch implementation of PCT: Point Cloud Transformer
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling (CVPR 2020)
Benchmarking and Analyzing Point Cloud Perception Robustness under Corruptions
ICCV 2019 oral presentation
our code for paper 'PointCutMix: Regularization Strategy for Point Cloud Classification', Neurocomputing, 2022
Implementation for paper "PointMixup: Augmentation for Point Cloud". Accepted to ECCV 2020 as spotlight presentation
PyTorch implementation of "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
PyTorch Implementation of PointNet
A re-implementation of the PointNet network in PyTorch
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
PyTorch implementation of Pointnet2/Pointnet++
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
Official Implementation (PyTorch) of "Point Cloud Augmentation with Weighted Local Transformations", ICCV 2021
PU-Net: Point Cloud Upsampling Network, CVPR, 2018 (https://arxiv.org/abs/1801.06761)
《机器学习》(西瓜书)公式详解
The second place solution to ModelNet-C classification in PointCloud-C Challenge 2022 (ECCV'22 Workshop).https://arxiv.org/abs/2210.15514
《Pytorch模型训练实用教程》中配套代码
Official Implementation (PyTorch) of "SageMix: Saliency-Guided Mixup for Point Clouds", NeurIPS 2022
[CVPR 2022] Shape-invariant Adversarial Point Clouds
DUP-Net: Denoiser and Upsampler Network for 3D Adversarial Point Clouds Defense
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.